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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Cloud technologies Cloud technologies
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eBook: Enter the Fast Lane with an AI-Driven Intelligent Streaming Platform

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About Informatica

Data Sheet: Informatica Big Data Streaming

Video: Jewelry TV Achieves Real-Time Analytics with Informatica

Intelligent Streaming for IoT Projects

eBook: Enter the Fast Lane with an AI-Driven Intelligent Streaming Platform

As the world marches toward complete digitalization of all aspects of business, the economy, and everyday life, businesses face a choice. They can view the transformation to all-digital, all-the-time as a threat that creates massive volumes of data and overloads decision makers; or, they can regard digitalization as an opportunity for change — developing new business models, engagement practices, and economics that take advantage of unprecedented insights at just the right time.

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Webinar: Real-time marketing analytics with stream processing

By applying Hadoop and Spark Streaming, JewelryTV has been able to utilize streaming data to run real-time analytics that are resulting in increased sales and new marketing insights. Learn how real-time technologies can be applied to marketing analytics and be used for real financial benefits in this O’Reilly webinar.

About Informatica

Informatica is the only Enterprise Cloud Data Management leader that accelerates data-driven digital transformation. Informatica enables companies to unleash the power of data to fuel innovation, become more agile and realize new growth opportunities, resulting in intelligent market disruptions. With over 7,000 customers worldwide, Informatica is the trusted leader in Enterprise Cloud Data Management. For more information, call +1 650-385-5000 (1-800-653-3871 in the U.S.), or visit www.informatica.com

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

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